AIMC Topic: Tuberculosis

Clear Filters Showing 81 to 90 of 161 articles

E-TBNet: Light Deep Neural Network for Automatic Detection of Tuberculosis with X-ray DR Imaging.

Sensors (Basel, Switzerland) Jan 21, 2022
Currently, the tuberculosis (TB) detection model based on chest X-ray images has the problem of excessive reliance on hardware computing resources, high equipment performance requirements, and being harder to deploy in low-cost personal computer and ...
Humans Tuberculosis Thorax X-Rays Neural Networks, Computer Radiography
View on PubMed DOI

TBNet: a context-aware graph network for tuberculosis diagnosis.

Computer methods and programs in biomedicine Dec 16, 2021
Tuberculosis (TB) is an infectious bacterial disease. It can affect the human lungs, brain, bones, and kidneys. Pulmonary tuberculosis is the most common. This airborne bacterium can be transmitted with the droplets by coughing and sneezing. So far, ...
Tuberculosis Thorax Tomography, X-Ray Computed Diagnosis, Computer-Assisted Humans Neural Networks, Computer
View on PubMed DOI

Deep learning aided quantitative analysis of anti-tuberculosis fixed-dose combinatorial formulation by terahertz spectroscopy.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Dec 14, 2021
Anti-tuberculosis fixed-dose combinatorial formulation (FDCs) is an effective drug for the treatment of tuberculosis. As a compound medicine, its efficacy is based on the comprehensive action of multiple main ingredients. If the content of an active ...
Terahertz Spectroscopy Least-Squares Analysis Tuberculosis Neural Networks, Computer Deep Learning Humans
View on PubMed DOI

Ensemble of EfficientNets for the Diagnosis of Tuberculosis.

Computational intelligence and neuroscience Dec 14, 2021
Tuberculosis (TB) remains a life-threatening disease and is one of the leading causes of mortality in developing regions due to poverty and inadequate medical resources. Tuberculosis is medicable, but it necessitates early diagnosis through reliable ...
Computer Systems Humans Tuberculosis Neural Networks, Computer
View on PubMed DOI

A Novel and Robust Approach to Detect Tuberculosis Using Transfer Learning.

Journal of healthcare engineering Nov 25, 2021
Deep learning has emerged as a promising technique for a variety of elements of infectious disease monitoring and detection, including . We built a deep convolutional neural network (CNN) model to assess the generalizability of the deep learning mode...
Deep Learning Tuberculosis Humans Neural Networks, Computer COVID-19 Reproducibility of Results
View on PubMed DOI

An accurate artificial intelligence system for the detection of pulmonary and extra pulmonary Tuberculosis.

Tuberculosis (Edinburgh, Scotland) Nov 10, 2021
Tuberculosis (TB) is the greatest irresistible illness in humans, caused by microbes Mycobacterium TB (MTB) bacteria and is an infectious disease that spreads from one individual to another through the air. It principally influences lung, which is te...
India Tuberculosis Tuberculosis, Pulmonary Humans Artificial Intelligence
View on PubMed DOI

DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Oct 23, 2021
The global pandemic of coronavirus disease 2019 (COVID-19) is continuing to have a significant effect on the well-being of the global population, thus increasing the demand for rapid testing, diagnosis, and treatment. As COVID-19 can cause severe pne...
Tuberculosis X-Rays Deep Learning Pneumonia Humans COVID-19 Algorithms SARS-CoV-2
View on PubMed DOI

Automated machine learning for endemic active tuberculosis prediction from multiplex serological data.

Scientific reports Sep 9, 2021
Serological diagnosis of active tuberculosis (TB) is enhanced by detection of multiple antibodies due to variable immune responses among patients. Clinical interpretation of these complex datasets requires development of suitable algorithms, a time c...
Humans Machine Learning Female Young Adult Retrospective Studies Models, Theoretical Tuberculosis Adult Male
View on PubMed DOI

Cost-effectiveness of artificial intelligence monitoring for active tuberculosis treatment: A modeling study.

PloS one Jul 21, 2021
BACKGROUND: Tuberculosis (TB) incidence in Los Angeles County, California, USA (5.7 per 100,000) is significantly higher than the U.S. national average (2.9 per 100,000). Directly observed therapy (DOT) is the preferred strategy for active TB treatme...
Pilot Projects Monitoring, Physiologic Tuberculosis Cost-Benefit Analysis California Female Aged Male Adult Middle Aged Humans Artificial Intelligence
View on PubMed DOI

Using Artificial Intelligence for High-Volume Identification of Silicosis and Tuberculosis: A Bio-Ethics Approach.

Annals of global health Jul 1, 2021
Although Artificial Intelligence (AI) is being increasingly applied, considerable distrust about introducing "disruptive" technologies persists. Intrinsic and contextual factors influencing where and how such innovations are introduced therefore requ...
Social Justice Tuberculosis Silicosis Bioethical Issues Humans Artificial Intelligence Delivery of Health Care
View on PubMed DOI
Popular Topics
Recent Journals